Data Analytics-Python Developer Mandatory skills 1. Python, Dagster, Docker containerization-3 5 years 2.Data Modeling-3 years Required Qualifications: · Proven experience as a Python Developer with a focus on data engineering. · Hands-on experience with Dagster for building and maintaining data pipelines. · Proficiency in Python libraries (Pandas, Polars, DuckDB) and ETL processes. · Solid understanding of Docker containerization. · Experience with Power BI, particularly connecting to Parquet data sources. · Experience wih Dimentional modeling, start schema, snow-flake schema. · Solid analytical, problem-solving, and communication skills.

Preferred Qualifications: · Familiarity with Agile methodologies and a team-oriented, team-oriented environment.

Responsibilities: · Pipeline Development:



o Develop and maintain Dagster pipelines to connect with various data sources and convert raw data into Parquet format. o Optimize ETL processes for robust, scalable data workflows. · Data Analysis & Transformation: o Analyze different source systems to design effective integration strategies. o Modify and manage Parquet datasets to ensure data quality and performance. · Technical Implementation: o Utilize Python libraries such as Pandas, Polars, and DuckDB for data processing and analysis. o Deploy applications using Docker for seamless containerization and deployment. · Data Modeling: o Design innovative data models from source tables to staging, capturing time-series data for advanced analytics. · Collaboration: o Work closely with Experience Level Mid Level

📌 Data Analytics Python Developer Bengaluru (India)
🏢 Pradeepit Global Consulting Private
📍 India